Elastic announced Elastic Distributions of OpenTelemetry (EDOT), a portfolio of OpenTelemetry (OTel) components designed to improve infrastructure and application monitoring in standard OTel distributions and functions.
EDOT provides deeper insights and troubleshooting capabilities to users, including fixes outside of OTel release cycles and enterprise-grade support from Elastic.
Download a complimentary copy of the 2024 Gartner® Magic Quadrant™ for Observability Platforms
“As organizations’ use of technology evolves, so do their needs for application and stack observability,” said Ken Exner, chief product officer at Elastic . “Building on our decision to adopt and recommend OTel for observing applications, Elastic is committed to contributing EDOT features or components upstream into the OTel community, fostering a collaborative environment and enhancing the overall OTel ecosystem.”
EDOT includes the following components: Elastic Distribution of OpenTelemetry Collector (EDOT Collector) and Elastic Distributions of Language Software Development Kits (SDKs), supporting Java, Python, NodeJS, .NET, and iOS and Android, with support for more languages to be rolled out.
The Elastic Distributions of SDKs bring additional application performance monitoring (APM) capabilities from Elastic's APM agents into OTel language SDKs, while maintaining seamless integration with Elastic Observability. Elastic will release OTel versions of its APM agents and continue to add additional language SDKs mirroring OTel.
EDOT users can still use native OTel components in conjunction with Elastic. Details and documentation for all EDOT components are available in Elastic’s public OpenTelemetry GitHub repository.
EDOT is available now in tech preview.
The Latest
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...
High-business-impact outages are costly, and a fast MTTx (mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR)) is crucial, with 62% of businesses reporting a loss of at least $1 million per hour of downtime ...
Organizations recognize the benefits of generative AI (GenAI) yet need help to implement the infrastructure necessary to deploy it, according to The Future of AI in IT Operations: Benefits and Challenges, a new report commissioned by ScienceLogic ...
Splunk's latest research reveals that companies embracing observability aren't just keeping up, they're pulling ahead. Whether it's unlocking advantages across their digital infrastructure, achieving deeper understanding of their IT environments or uncovering faster insights, organizations are slashing through resolution times like never before ...
A majority of IT workers surveyed (79%) believe the current service desk model will be unrecognizable within three years, with nearly as many (77%) saying new technologies will render it "redundant" by 2027, according to The Death (and Rebirth) of the Service Desk from Nexthink ...
Monitoring your cloud infrastructure on Microsoft Azure is crucial for maintaining its optimal functioning ... In this blog, we will discuss the key aspects you need to consider when selecting the right Azure monitoring software for your business ...
All eyes are on the value AI can provide to enterprises. Whether it's simplifying the lives of developers, more accurately forecasting business decisions, or empowering teams to do more with less, AI has already become deeply integrated into businesses. However, it's still early to evaluate its impact using traditional methods. Here's how engineering and IT leaders can make educated decisions despite the ambiguity ...
